Example data processing systems and methods are described. In one implementation, a system accesses a corpus of data and analyzes the data contained in the corpus of data to identify multiple documents. The system generates vector indexes for the multiple documents such that the vector indexes allow a computing system to quickly access the plurality of documents and identify an answer to a question associated with the corpus of data.
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2. The method of claim 1, further comprising applying extractive summarization to select the portion of the document from best text portions of the document.
3. The method of claim 1, wherein the at least two different paraphrasing techniques include full backtranslation using a neural machine translation model.
4. The method of claim 1, wherein the at least two different paraphrasing techniques include noun/verb phrase backtranslation.
5. The method of claim 1, wherein the at least two different paraphrasing techniques include synonym replacement.
6. The method of claim 1, wherein the at least two different paraphrasing techniques include phrase replacement.
7. The method of claim 1, wherein de-duplication comprises: determining, via the neural sentence encoder of the computing system, a first vector representation of a portion of the document and a respective vector representation of each of the plurality of candidate paraphrases; and discarding the one or more candidate paraphrases based on a computed respective cosine similarity between the first vector representation and the respective vector representation of each of the plurality of candidate paraphrases.
11. The method of claim 1, wherein filtering the plurality of candidate paraphrases includes removing irrelevant sentences.
13. The method of claim 12, wherein the at least two different paraphrasing techniques include at least two of full backtranslation, noun/verb phrase backtranslation, synonym replacement, and phrase replacement.
14. The method of claim 12, further comprising discarding a particular paraphrase if the respective cosine similarity is less than 0.5 or greater than 0.95.
15. The method of claim 12, wherein filtering the plurality of candidate paraphrases includes removing irrelevant sentences.
20. The method of claim 17, wherein the at least two paraphrasing techniques include full backtranslation via a neural machine translation model, noun/verb phrase backtranslation via a neural parser, or a combination thereof.
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November 6, 2019
October 11, 2022
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